Pattern recognition pipeline for neuroimaging data

Maxim Sharaev, Alexander Andreev, Alexey Artemov, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Irina Samotaeva, Vladislav Gaskin, Alexander Bernstein

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    12 Citations (Scopus)

    Abstract

    As machine learning continues to gain momentum in the neuroscience community, we witness the emergence of novel applications such as diagnostics, characterization, and treatment outcome prediction for psychiatric and neurological disorders, for instance, epilepsy and depression. Systematic research into these mental disorders increasingly involves drawing clinical conclusions on the basis of data-driven approaches; to this end, structural and functional neuroimaging serve as key source modalities. Identification of informative neuroimaging markers requires establishing a comprehensive preparation pipeline for data which may be severely corrupted by artifactual signal fluctuations. We propose a new unified data analysis pipeline for neuroimaging-based diagnostic classification problems using various different feature extraction techniques, Machine Learning algorithms and processing toolboxes for brain imaging. We illustrate the approach by discovering potential candidates for new biomarkers for diagnostics of epilepsy and depression presence in simple and complex cases based on clinical and MRI data for patients and healthy volunteers. We also demonstrate that the proposed pipeline in many classification tasks provides better performance than conventional ones.

    Original languageEnglish
    Title of host publicationArtificial Neural Networks in Pattern Recognition - 8th IAPR TC3 Workshop, ANNPR 2018, Proceedings
    EditorsLuca Pancioni, Edmondo Trentin, Friedhelm Schwenker
    PublisherSpringer Verlag
    Pages306-319
    Number of pages14
    ISBN (Print)9783319999777
    DOIs
    Publication statusPublished - 2018
    Event8th IAPR TC3 workshop on Artificial Neural Networks for Pattern Recognition, ANNPR 2018 - Siena, Italy
    Duration: 19 Sep 201821 Sep 2018

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume11081 LNAI
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference8th IAPR TC3 workshop on Artificial Neural Networks for Pattern Recognition, ANNPR 2018
    Country/TerritoryItaly
    CitySiena
    Period19/09/1821/09/18

    Keywords

    • Biomarkers
    • fMRI
    • MRI
    • Neuroimaging data
    • Neurology
    • Pattern recognition
    • Psychiatry

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